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528 results for “Land cover”
Land cover classification using ASTER data - year 2000
Land cover classification for the CAP LTER study region using ASTER imagery acquired September 19, 2000. Current classification is broadly similar to previous classifications using Landsat TM by Stefanov et al (2001). Three visible bands (15m/pixel) of ASTER were used to perfom a multistep classification of the area. The fifteen-class classification is produced by applying the expert system approach and using the initially derived 16-class minimum distance to means (MDM) supervised classification, Normalized Difference Vegetation Index (NDVI), spatial variance texture image, and land use vector coverage. The overall classification accuracy is 88.06%. Although it does not cover the entire CAP LATER, the dataset can be used as higher spatial resolution alternative to Landsat-derived land cover.
Land cover classification using Landsat Enhanced Thematic Mapper (ETM) data - year 2000
This land cover classification map was created using Landsat Enhanced Thematic Mapper (ETM) data from the year 2000. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Land cover classification of central Arizona-Phoenix using Landsat Enhanced Thematic Mapper (ETM) data, year 2005
A fundamental dataset required for ecosystem analysis consists of the major types of land cover present in the study area and their areal percentages. Land cover refers to the physical nature of the surficial materials present in a given area such as water, grass, clay-rich soil, asphalt, or concrete. Land cover classification can be used as input into a variety of ecological models, and land cover maps can be constructed to aid in planning field sampling strategy. The land cover types can also be linked to different land use categories to investigate temporal and spatial changes in the urban ecosystem.
Point Count Bird Censusing Data Subset for Paper 'EFFECTS OF LAND USE AND VEGETATION COVER ON BIRD COMMUNITIES' Walker et. al
Animals utilize their environment across a range of scales, which is bounded by their extent, the broadest spatial area which organisms respond to their environment within their lifetime, and the spatial grain, the smallest area they respond to their environment (Kotlier and Wiens 1990). Within this range, organisms likely respond to their environment at a hierarchy of levels. Johnson (1980) recognizes four distinct levels of hierarchical habitat selection. At the very largest scale, first order selection, includes the entire area that an organism utilizes within its lifetime, and is also known as an organisms global home range or extent. In contrast, second order selection is an organisms local home range, or the area that it occupies within a unique ecosystem. This distinction is most apparent with migratory animals who utilize more than one distinct landscape for their survival (i.e. summer vs. winter feeding grounds), and much less so for organisms resident of one specific landscape for their entire life span. Third order selection is the selection of specific habitat patches within an ecosystem. For example, a Monarch butterfly would tend to select patches of milkweed within a prairie. And the lowest level, fourth order selection, involves the physical procurement of food within a selected patch, in our example, specific flowers within a milkweed patch, and is also known as grain. Realizing the importance of hierarchical habitat selection, it has become apparent that single-scale studies of animals responses to their environment may fail to adequately represent how that specific animal is responding to ecological parameter of interest, especially if they are not responding to the landscape at that scale (Holling 1992). The range of scales which an animal of interest is utilizing a landscape is important to determine prior to any further ecological investigation, as inappropriate scalar mismatch between organism and environment can lead to ambiguous or even dece
Land cover classification using Landsat (MSS) data for the Central Arizona-Phoenix area - year 1979
This land cover classification map was created using Landsat MSS data from the year 1979. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1985
This land cover classification map was created using Landsat TM data from the year 1985. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1991
This land cover classification map was created using Landsat TM data from the year 1991. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1995
This land cover classification map was created using Landsat TM data from the year 1995. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1990
Land cover classification for the Central Arizona-Phoenix CAP LTER study region using Landsat Thematic Mapper (TM) data - for the year 1990
Land cover classification of the CAP LTER study area at five-year intervals from 1985 to 2010 using Landsat imagery
The project aims to facilitate the long-term environmental change monitoring and social-ecological studies regarding urban sprawl and dynamics, urban heat islands, and outdoor water consumption, etc. Six land-use/land-cover (LULC) maps at 30 m resolution are created from 1985 to 2010 at five year intervals. Systematic object-based classification is utilized to ensure the map consistency and direct comparison capability over time. In the result, 11 land-use/land-cover classes are identified with an overall accuracy of 92.1%.
Land cover classification of Central Arizona-Phoenix using Landsat Thematic Mapper (TM) data - year 1998
Land cover classification for the Central Arizona-Phoenix CAP LTER study region using Landsat Thematic Mapper (TM) data - for the year 1998
Land Cover, 2005, for Town of Andover, Massachusetts - Raster
This is a seven-category land-cover map of Andover, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.
Land Cover, 2005, for Town of Andover, Massachusetts - Vector
This is a seven-category land-cover map of Andover, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software. These files can also be exported to FGDC and ISO metadata formats.
Land Cover, 2005, for Town of Beverly, Massachusetts - Raster
This is a seven-category land-cover map of Beverly, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.
Land Cover, 2005, for Town of Beverly, Massachusetts - Vector
This is a seven-category land-cover map of Beverly, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.
Land Cover, 2005, for Town of Billerica, Massachusetts - Raster
This is a seven-category land-cover map of Billerica, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.
Land Cover, 2005, for Town of Billerica, Massachusetts - Vector
This is a seven-category land-cover map of Billerica, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.
Land Cover, 2005, for Town of Boxford, Massachusetts - Raster
This is a seven-category land-cover map of Boxford, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.
Land Cover, 2005, for Town of Boxford, Massachusetts - Vector
This is a seven-category land-cover map of Boxford, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.
Land Cover, 2005, for Town of Burlington, Massachusetts - Raster
This is a seven-category land-cover map of Burlington, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.